Changes in our genes affect health risks from heart disease to cancer, but how those genes are turned on and off is just as ...

A team of computer scientists, astronomers and historians in Berlin has used machine-learning applications to learn more about the evolutionary history of European astronomical thought in the 15th and ...

A comparative machine-learning study found that meditation, behavioral and lifestyle survey data can predict self-reported ...

A machine learning analysis of NHANES data found that higher intakes of calcium, lycopene, folate, vitamin D, fruits, dairy and omega-3-rich seafood were associated with lower rheumatoid arthritis ...

Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy (XAS) is an important technique for this, as it reveals detailed insights ...

Please provide your email address to receive an email when new articles are posted on . Researchers are using machine learning to identify data-driven PCOS subtypes. Findings may lead to more precise ...

Dropping AI Discovery Reveals Why Bacteria Resist Treatment”, “content”: “ For decades, our approach to fighting bacterial ...

Machine learning (ML) aims to predict outcomes with greater accuracy and discern trends humans would likely miss when relying solely on conventional statistical methods. A machine learning algorithm ...

Among ventilated adults who underwent extubation, 18.7% were high risk for extubation failure per machine learning even though they met traditional low-risk criteria, according to data presented at ...

Chemists routinely optimize reactions to maximize the yield of their desired products, but understanding why those reactions work can require laborious experiments that track reactions through time.